Sr. Technical Project Manager

WebMD is the most recognized and trusted brand of health information and the leading provider of health information services, serving consumers, physicians, healthcare professionals, employers and health plans through our public and private online portals and WebMD the Magazine. The WebMD Health Network includes WebMD, Medscape, Medicine Net, eMedicine, RxList, theheart.org and Medscape Education. Our consumer portals and mobile health applications provide engaging, relevant and credible health and wellness information, personalized health assessment tools and access to online communities.

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Company Overview:

WebMD is the most recognized and trusted brand of health information and a leading provider of health services, serving consumers, physicians, healthcare professionals, employers, and health plans through our digital platforms. Our health network includes WebMD, Medscape, Medicine Net, eMedicine, RxList, theheart.org, and Medscape Education. Our platforms deliver credible, actionable, and engaging health content along with data-driven tools and insights.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Work Location:

This position will require in-office presence (COVID permitting) at our 283-299 Market Street headquarters in Newark, NJ. Please do not apply if seeking a fully remote position.

As a Sr. Technical Project Manager – Data Projects, you will be responsible for leading high-impact, cross-functional initiatives centered around data platforms, analytics, and reporting. You will work closely with the Data Services - Engineering, Business, and Product teams to ensure the timely and efficient execution of complex data-centric projects.

This role emphasizes a deep understanding of data systems, governance, transformation pipelines, and stakeholder alignment to support enterprise-wide goals in data engineering and operations.

Own the intake and prioritization process for incoming data-related requests across Data Engineering and partner functions.

Drive quarterly roadmap planning for data projects including ingestion pipelines, warehouse architecture, and analytics platform initiatives.

Manage end-to-end project execution: from requirements gathering and backlog grooming to implementation, validation, and production deployment.

Collaborate with data architects and analysts to define scope and translate business needs into technical requirements.

Track agile progress through tools such as JIRA, Confluence, or You Track; and project management tools to ensure proper documentation and visibility for all data deliverables.

Proactively manage risks, interdependencies, and blockers, and lead cross-team alignment for resolution.

Partner with QA, Dev Ops, and business stakeholders to ensure appropriate levels of testing and validation.

Lead Scrum ceremonies for assigned data teams, and ensure adherence to agile best practices, including story point estimation and sprint retrospectives.

Support data governance and compliance initiatives by ensuring accurate metadata, lineage tracking, and documentation practices.

Develop project dashboards and metrics to communicate status, risks, and ROI to leadership.

Champion process improvement efforts across the data function to drive delivery efficiency and data quality.

5+ years of project management experience in a technical or enterprise data environment.

3+ years of experience managing data-related projects (e.g., data pipelines, data warehousing, analytics platforms, reporting automation).

Understanding of data technologies (e.g., SQL, Postgre

SQL, Big Query, Snowflake, ETL/ELT tools, data lakes).

Experience working with agile frameworks (Scrum, Kanban)…